TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Oklahoma St. vs Houston: 2nd Quarter Winner
kalshi

What is the result of Oklahoma St. vs Houston?

Volume:
$6,513

Houston

 - Kalshi

Houston - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 9:15 PM EST

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Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Houston

View
100%
Yes 100¢No 0¢
—
N/A
$3,191
N/A
N/A
$2,853
Settled
Yes
kalshi

Oklahoma St.

0%
Yes 0¢No 100¢
—
N/A
$1,746
N/A
N/A
$1,478
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,577
N/A
N/A
$1,453
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second quarter of a college football game between Oklahoma State and Houston. It provides a way to speculate on short-term performance during a specific segment of the game, rather than the overall result.

Kalshi

If Houston wins the 2nd quarter of the Oklahoma St. vs Houston college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If Oklahoma St. wins the 2nd quarter of the Oklahoma St. vs Houston college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Oklahoma St. vs Houston college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Oklahoma State vs Houston game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probabilities are shifting as traders buy and sell contracts. Currently, the total volume for this market is $6,513, with $6,513 traded in the last 24 hours. This provides a real-time view of where the crowd believes the game's second quarter will go, offering insight beyond traditional polling data. The dashboard updates continuously, reflecting the latest market activity.

Prediction market odds often differ from those found at sportsbooks, reflecting the wisdom of the crowd rather than a bookmaker's assessment. Sportsbooks set lines to balance their risk and ensure profit, while this market allows anyone to express their belief about the outcome. Often, prediction markets aggregate information more efficiently, incorporating a wider range of data and perspectives. While sportsbooks may initially move based on early betting action, this market can react more dynamically to new information and shifts in sentiment regarding the Oklahoma State vs Houston game.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing their belief about which team will win the second quarter. The price of a contract reflects the probability of that outcome occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit if their contracts increase in value before the market closes. This dynamic pricing mechanism creates a constantly evolving assessment of the likely winner, distinct from static odds offered elsewhere.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the second quarter of the Oklahoma State vs Houston game will be declared the winner of this market. The resolution will be based on official game statistics and results, ensuring a transparent and objective determination. Traders should monitor official sources for the final score to understand when and how this market will settle.

Several signals could significantly move this market before it resolves. Any news regarding key player injuries for either Oklahoma State or Houston would likely impact the odds. Changes in weather forecasts, particularly if they favor one team's playing style, could also shift the market. Additionally, unexpected news about team morale or coaching decisions could influence trader sentiment. Finally, early game performance in the first quarter, even if not directly impacting the second, might lead to adjustments in expectations and trading activity for this market.